Kuo, Ping-Huan Associate Professor

 

Education

 Ph.D. degree in Institute of Electrical Engineering, National Cheng Kung University

Expertise

 Robotics, Artificial Intelligence, Image Processing
Extension 33325
E-mail phkuo@ccu.edu.tw
Office College of Engineering(II) R432D
Lab College of Engineering(II) R533B
Link Personal website
Journal Papers

  1. C.-J. Huang, Y. Shen, P.-H. Kuo, Y.-H. Chen*, “Novel Spatiotemporal Feature Extraction Parallel Deep Neural Network for Forecasting Confirmed Cases of Coronavirus Disease 2019,” Socio-Economic Planning Sciences, doi: 10.1016/j.seps.2020.100976. (Accepted, SCI, IF= 4.149, 15/83, Q1)

  2. Y. Shen, Y. Ma, S. Deng, C.-J. Huang* and P.-H. Kuo*, “An Ensemble Model based on Deep Learning and Data Preprocessing for Short-Term Electrical Load Forecasting,”Sustainability, Vol. 13, No. 4, pp. 1694, 2021. (SCI, IF= 2.576, 120/265, Q2)

  3. T.-H. S. Li*, P.-H. Kuo, L.-H. Chen, C.-C. Hung, P.-C. Luan, H.-P. Hsu, C.-H. Chang, Y.-T. Hsieh, and W.-H Lin, “Fuzzy Double Deep Q-Network-Based Gait Pattern Controller for Humanoid Robots,” IEEE Transactions on Fuzzy Systems, 2020, doi: 10.1109/TFUZZ.2020.3033141. (Accepted, SCI, IF= 9.518, 10/266, Q1)

  4. H.-J. Chiu, T.-H. S. Li*, and P.-H. Kuo*, “Breast Cancer–Detection System Using PCA, Multilayer Perceptron, Transfer Learning, and Support Vector Machine,” IEEE Access, Vol. 8, pp. 204309-204324, 2020. (SCI, IF= 3.745, 35/156, Q1)

  5. T.-H. S. Li, P.-H. Kuo*, C.-H. Cheng, C.-C. Hung, P.-C. Luan, and C.-H. Chang, “Sequential Sensor Fusion Based Real-Time LSTM Gait Pattern Controller for Biped Robot,” IEEE Sensors Journal, Vol. 21, No. 2, pp. 2241-2255, 2020. (SCI, IF= 3.073, 18/64, Q2)

  6. P.-H. Kuo, R.-M. Lee, and C.-C. Wang*, “A High-Precision Random Forest–Based Maximum Lyapunov Exponent Prediction Model for Spherical Porous Gas Bearing Systems,” IEEE Access, Vol. 8, pp. 168079-168086, 2020. (SCI, IF= 3.745, 35/156, Q1)

  7. P.-H. Kuo*, S.-T. Lin and J. Hu, “DNAE-GAN: Noise-Free Acoustic Signal Generator by Integrating Autoencoder and Generative Adversarial Network,” International Journal of Distributed Sensor Networks, Vol. 16, No. 5, pp. 1-13, 2020. (SCI, IF= 1.151, 129/156, Q4)

  8. T.-H. S. Li, P.-H. Kuo*, C.-Y. Chang, H.-P. Hsu, Y.-C. Chen, and C.-H. Chang, “Deep Belief Network Based Learning Algorithm for Humanoid Robot in a Pitching Game,” IEEE Access, Vol. 7, pp. 165659-165670, 2019. (SCI, IF= 3.745, 35/156, Q1)

  9. T.-H. S. Li, P.-H. Kuo*, Y.-F. Ho, and G.-H. Liou, “Intelligent Control Strategy for Robotic Arm by Using Adaptive Inertia Weight and Acceleration Coefficients Particle Swarm Optimization,” IEEE Access, Vol. 7, pp. 126929-126940, 2019. (SCI, IF= 3.745, 35/156, Q1)

  10. T.-H. S. Li, P.-H. Kuo*, T.-N. Tsai, and P.-C. Luan, “CNN and LSTM Based Facial Expression Analysis Model for a Humanoid Robot,” IEEE Access, Vol. 7, pp. 93998-94011, 2019. (SCI, IF= 3.745, 35/156, Q1)

  11. C.-J. Huang and P.-H. Kuo*, “Multiple-Input Deep Convolutional Neural Network Model for Short-Term Photovoltaic Power Forecasting,” IEEE Access, Vol. 7, pp. 74822-74834, 2019. (SCI, IF= 3.745, 35/156, Q1)

  12. H.-C. Chen, P.-H. Kuo and C.-J. Huang*, “A Mutual Blocking Technology Applied to Dual Power Source Switching Control,” Energies, Vol. 12, No. 4, pp. 576, 2019. (SCI, IF= 2.702, 63/112, Q3)

  13. C.-J. Huang and P.-H. Kuo*, “A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems,” Energies, Vol. 11, No. 10, pp. 2777, 2018. (SCI, IF= 2.702, 63/112, Q3)

  14. C.-J. Huang and P.-H. Kuo*, “A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities,” Sensors, Vol. 18, No. 7, pp. 2220, 2018. (SCI, IF= 3.275, 15/64, Q1)

  15. P.-H. Kuo and C.-J. Huang*, “A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting,” Energies, Vol. 11, No. 1, pp. 213, 2018. (SCI, IF= 2.702, 63/112, Q3)

  16. P.-H. Kuo and C.-J. Huang*, “A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model,” Energies, Vol. 11, No. 4, pp. 819, 2018. (SCI, IF= 2.702, 63/112, Q3)

  17. P.-H. Kuo and C. Huang*, “An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks,” Sustainability, Vol. 10, No. 4, pp. 1280, 2018. (SCI, IF= 2.576, 120/265, Q2)

  18. P.-H. Kuo, H.-C. Chen and C.-J. Huang*, “Solar Radiation Estimation Algorithm and Field Verification in Taiwan,” Energies, Vol. 11, No. 6, pp. 1374, 2018. (SCI, IF= 2.702, 63/112, Q3)

  19. T.-H. S. Li*, Y.-F. Ho, P.-H. Kuo, Y.-T. Ye, and L.-F. Wu, “Natural walking reference generation based on double-link LIPM gait planning algorithm,” IEEE Access, Vol. 5, pp. 2459–2469, 2017. (SCI, IF= 3.745, 35/156, Q1)

  20. T.-H. S. Li*, Chih-Yin Liu, P.-H. Kuo, N.-C. Fang, C.-H. Li, C.-W. Cheng, C.-Y. Hsieh, L.-F. Wu, J.-J. Liang, and C.-Y. Chen, “A three-dimensional adaptive PSO-based packing algorithm for an IoT-based automated e-fulfillment packaging system,” IEEE Access, Vol. 5, pp. 9188–9205, 2017. (SCI, IF= 3.745, 35/156, Q1)

  21. T.-H. S. Li*, C.-Y. Liu, P.-H. Kuo et al., “Reciprocal learning for robot peers,” IEEE Access, Vol. 5, pp. 6198–6211, 2017. (SCI, IF= 3.745, 35/156, Q1)

  22. T.-H. S. Li*, P.-H. Kuo, Y.-F. Ho et al., “Robots that think fast and slow: an example of throwing the ball into the basket,” IEEE Access, Vol. 4, pp. 5052–5064, 2016. (SCI, IF= 3.745, 35/156, Q1)

  23. P.-H. Kuo, T.-H. S. Li*, G.-Y. Chen, Y.-F. Ho and C.-J. Lin, “A migrant-inspired path planning algorithm for obstacle run using particle swarm optimization, potential field navigation, and fuzzy logic controller,” The Knowledge Engineering Review, Vol. 32, pp. 1–17, 2016. (SCI, IF= 1.257, 110/136, Q4)

  24. Y.-F. Ho, T.-H. S. Li*, P.-H. Kuo, and Y.-T. Ye, “Parameterized gait pattern generator based on linear inverted pendulum model with natural ZMP references,” The Knowledge Engineering Review, Vol. 32, pp. 1–17, 2016. (SCI, IF= 1.257, 110/136, Q4)

  25. C.-J. Lin, T.-H. S. Li*, P.-H. Kuo and Y.-H. Wang, “Integrated particle swarm optimization algorithm based obstacle avoidance control design for home service robot,” Computers and Electrical Engineering, Vol. 56, pp. 748–762, 2016. (SCI, IF= 2.663, 20/53, Q2)

  26. T.-H. S. Li*, C.-J. Lin, P.-H. Kuo and Y.-H. Wang, “Grasping posture control design for a home service robot using an ABC-based adaptive PSO algorithm,” International Journal of Advanced Robotic Systems, Vol. 13, No. 118, pp. 1–15, 2016. (SCI, IF= 1.482, 22/28, Q4)

  27. T.-H. S. Li*, M.-C. Kao and P.-H. Kuo, “Recognition system for home-service-related sign language using entropy-based K-means algorithm and ABC-based HMM,” IEEE Transactions on Systems, Man, And Cybernetics: Systems, Vol. 46, No. 1, pp.150–162, 2016. (SCI, SCI, IF= 9.309, 2/63, Q1)

  28. T.-H. S. Li*, P.-H. Kuo, Y.-F. Ho, M.-C. Kao and L.-H. Tai, “Biped gait learning algorithm for humanoid robots based on environmental impact assessed artificial bee colony,” IEEE Access, Vol. 3, pp. 13–26, 2015. (SCI, IF= 3.745, 35/156, Q1)

  29. P.-H. Kuo, T.-H. S. Li*, Y.-F. Ho and C.-J. Lin, “Development of an automatic emotional music accompaniment system by fuzzy logic and adaptive partition evolutionary genetic algorithm,” IEEE Access, Vol. 3, pp. 815–824, 2015. (SCI, IF= 3.745, 35/156, Q1)

  30. T.-C. Feng, T.-H. S. Li* and P.-H. Kuo, “Variable coded hierarchical fuzzy classification model using DNA coding and evolutionary programming,” Applied Mathematical Modelling, Vol. 39, No. 23–24, pp.7401–7419, 2015. (SCI, IF= 3.633, 12/106, Q1)
Conference Papers

  1. P.-C. Luan, H.-P. Hsu, P.-H. Kuo, and T.-H. S. Li*, “IFB-PSO for Optimized Realization of an Anthropomorphic Robotic Hand” in Proc. 2020 International Automatic Control Conference (CACS 2020), 2020.

  2. S.-T. Lin, J. Hu, and P.-H. Kuo*, “The Development and Implementation of Image and Speech Signal Based Chatbot System for Humanoid Robot” in Proc. 2020 International Automatic Control Conference (CACS 2020), 2020.

  3. P.-C. Luan, Y.-C. Chen, P.-H. Kuo, and T.-H. S. Li*, “Electromyographic Hand Gesture Classification Using Lifelong Learning,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2020), 2020.

  4. C.-C. Hung, C.-H. Chang, P.-H. Kuo, and T.-H. S. Li*, “Convolutional LSTM and Transfer Learning Based Gait Pattern Controller for Humanoid Robot with Different Weight Loading,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2020), 2020.

  5. C.-Y. Liu, P.-C. Luan, P.-H. Kuo, and T.-H. S. Li*, “Intelligent Mechanism Optimization and Behavior Planning by Using ACGABC and Q-Learning Algorithm for Toddler-sized Humanoid Robot” in Proc. 2019 International Automatic Control Conference (CACS 2019), 2019.

  6. J. Hu, S.-T. Lin, and P.-H. Kuo*, “Voice Imitation Model with an Autoencoder and Generative Adversarial Network” in Proc. 2019 International Automatic Control Conference (CACS 2019), 2019.

  7. C.-J. Huang, M.-C. Hwang, H.-C. Chen, and P.-H. Kuo, “PV System Power Model Application in Smart Cities” in Proc. 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII), pp. 31-32, 2019.

  8. M.-C. Kao, T.-H. S. Li*, and P.-H. Kuo, “Double Peak CAMS Algorithm Based Object Searching for a Human Partner System” in Proc. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018), pp. 1827-1832, 2018.

  9. P.-H. Kuo, Y.-C. Chen, Y. Zhu, and C.-J. Huang*, “A Portable Low-Cost Mobile Phone Solar Charger” in Proc. Innovation, Communication and Engineering (ICICE 2018), 2018, DOI: 10.1201/9780429019777-16.

  10. C.-J. Huang, Y.-C. Chen, M.-C. Hwang, and P.-H. Kuo*, “A Simple Solar Radiation Estimation Algorithm Design and Field Verification” in Proc. Innovation, Communication and Engineering (ICICE 2018), 2018, DOI: 10.1201/9780429019777-33 .

  11. C.-H. Cheng, C.-Y. Huang, P.-H. Kuo, and T.-H. S. Li, “Design of Long-Short Term Memory Gait Pattern Controller for Teen-Sized Humanoid Robot” in Proc. 2018 International Automatic Control Conference (CACS 2018), 2018.

  12. S.-T. Lin, J. Hu, C.-H. Shih, C.-J. Huang and P.-H. Kuo*, “Particle Swarm Optimization Based Motion Learning Method for Humanoid Robot,” in Proc. 2018 International Automatic Control Conference (CACS 2018), 2018.

  13. T.-N. Tsai, P.-H. Kuo, and T.-H. S. Li*, “Deep Neural Network Based Emotion Recognition System for Humanoid Robot,” in Proc. International conference on Advanced Robotics and Intelligent Systems (ARIS 2018), 2018.

  14. M.-C. Hwang, P.-H. Kuo and C.-J. Huang*, “The Stereoscopic Model of a Hexapod Robot,” in Proc. 6th International Symposium on Sensor Science and 4th SPINTECH Technology Thesis Award, Paper ID: I3S2018-98, 2018.

  15. C.-J. Huang, M.-C. Hwang, H. Hu, P.-H. Kuo*, “Feedback Linearization Control Design applied to a Mathematical HIV/AIDS Model a Mathematical HIV/AIDS Model,” in Proc. 6th International Symposium on Sensor Science and 4th SPINTECH Technology Thesis Award, Paper ID: I3S2018-14, 2018.

  16. S.-T. Lin, J. Hu, C.-H. Shih, C.-J. Huang and P.-H. Kuo*, “The Development of Supervised Motion Learning and Vision System for Humanoid Robot,” in Proc. URUICST 2018, 2018.

  17. P.-H. Kuo, H.-C. Chen, and C.-J. Huang*, “Solar Daily Irradiation Estimation Algorithm Development and Field Verification,” in Proc. IEEE ICASI 2018, 2018, pp. 166–167.

  18. P.-H. Kuo, G.-H. Liu, Y.-F. Ho, and T.-H. S. Li*, “PSO and neural network based intelligent posture calibration method for robot arm,” in Proc. 2016 IEEE SMC, 2016, pp. 3095–3100.

  19. L.-F. Wu, Y.-T. Ye, Y.-F. Ho, P.-H. Kuo, and T.-H. S. Li*, “Design and implementation of teen-sized humanoid robot David junior,” in Proc. 2016 Int. Conf. on Advanced Robotics and Intelligent Systems, 2016, pp. 1–6.

  20. Y.-F. Ho, P.-H. Kuo, K.-Y. Chong and T.-H. S. Li*, “Control strategy design for throw-in challenge in a humanoid robot soccer game,” in Proc. 2015 International Conference on Education and Entertainment Robotics (ICEER), 2015, pp. 101–112.

  21. P.-H. Kuo, Y.-F. Ho, T.-K. Wang, T.-H. S. Li*, “Design and implementation of double passing strategy for humanoid robot soccer game,” in Proc. 2015 International Conference on Education and Entertainment Robotics (ICEER), 2015, pp. 357–371.

  22. C.-Y. Lin, K.-F. Lee, H.-C. Wang, P.-H. Kuo, Y.-F. Ho and T.-H. S. Li*, “Design and implementation of 3-dof dynamic balancing waist and its fuzzy control for adult-sized humanoid robot,” in Proc. SICE Annual Conference 2014, 2014, pp. 2133–2138.

  23. P.-H. Kuo, Y.-F. Ho, C.-C. Sun and T.-H. S. Li*, “Obstacle avoidance and dribbling strategy for humanoid soccer robots,” in Proc. FIRA 2014, 2014, pp. 265–276.

  24. P.-H. Kuo, Y.-F. Ho, K.-F. Lee, L.-H. Tai and T.-H. S. Li*, “Development of humanoid robot simulator for gait learning by using particle swarm optimization,” in Proc. 2013 IEEE SMC, 2013, pp. 2683–2688.

  25. Y.-F. Ho, L.-H. Tai, P.-H. Kuo, K.-F. Lee and T.-H. S. Li*, “Development of simulator for humanoid robot gait pattern generation by using CPG and ABC algorithm,” in Proc. 2013 CACS Int. Automatic Control Conference, 2013.

  26. Y.-F. Ho, P.-H. Kuo, P.-C. Huang, and T.-H. S. Li*, “Design and Implementation of a series of small-sized humanoid robots for FIRA and RoboCup,” in Proc. 2013 Int. Conf. on Advanced Robotics and Intelligent Systems, pp. 92-97, 2013.

  27. P.-H. Kuo, Y.-F. Ho, H.-Y. Hsiao, L.-H. Tai, T.-C. Yu and T.-H. S. Li*, “Vision and control schemes of weight lifting competition for adult-sized humanoid robot,” in Proc. 2012 CACS Int. Automatic Control Conference, 2012.

  28. P.-H. Kuo and T.-H. S. Li*, “Development of simulator for AndroSot in FIRA,” in Proc. FIRA 2011, CCIS 212, 2011, pp. 233–240.

  29. P.-H. Kuo and T.-H. S. Li*, “Development of simulator for kid-sized humanoid soccer in RoboCup,” in Proc. System Science and Engineering (ICSSE), 2011 International Conference, 2011, pp. 155–160.
Project

  1. 國外教育見習教育實習及國際史懷哲計畫(MOE, 2020/8/1~2021/1/31, 擔任協同主持人)

  2. 教育部補助合格教師赴新南向友好國家學校任教計畫(MOE, 2020/8/1~2021/1/31, 擔任協同主持人)

  3. 應用深度學習之嵌入式智慧型水果分級機(農委會, 2020/1/1~2020/12/31, 擔任共同主持人, 總金額535,000元)

  4. 基於仿生技術及深度學習研發會跳、會跑或會飛的機器--總計畫暨子計畫四：基於仿生演算法暨深度學習之奔跑及跳躍人形機器人之開發(MOST, 2020/08/01~2023/07/31, 擔任共同主持人, 總金額8,145,000元)

  5. 基於仿生技術及深度學習研發會跳、會跑或會飛的機器人--子計畫一：人工智慧演算法應用於仿生機器人極限動作增強策略之發展(MOST, 2020/08/01~2023/07/31, 擔任子計畫主持人, 總金額3,370,000元)

  6. 智能製造加工產業技術與生產效能提升計畫(金屬中心學界協助中小企業科技關懷計畫, 2020/06-2020/11, 擔任共同主持人, 總金額984,000元)

  7. 使用深度學習與生物啟發式計算之製造參數的調控(科技部大專學生研究計畫, 2020/07/01~2021/02/28, 擔任指導教授, 總金額48,000元)

  8. 以機器學習模型為基礎之COVID-19趨勢預測系統(NPTU, 2020/6/1~2020/12/20, 擔任計畫主持人, 總金額50,000元)

  9. 應用於農業之機電整合系統(NPTU, 2020/3/16~2020/12/20, 擔任子計畫主持人, 總金額300,000元)

  10. 智慧型網路社群資料分析系統建構(NPTU, 2020/3/16~2020/12/20, 擔任子計畫主持人, 總金額300,000元)

  11. 居家環境安全暨生理監控APP(億曜企業股份有限公司, 2019, 擔任協同主持人)

  12. 公務車智慧型車APP設計(億曜企業股份有限公司, 2019, 擔任協同主持人)

  13. 智慧農業技術之發展與研究(NPTU, 2019/2/18~2019/12/20, 擔任子計畫主持人, 總金額350,000元)

  14. 以人工智慧演算法為基礎之型服務機器整合與開發(NPTU, 2018/1/31~2018/12/31, 擔任子計畫主持人, 總金額350,000元)

  15. 經由模仿與學習2歲兒童粗動作與細動作發展來設計與研製人形機器人--以增強式與深度學習演算法實踐幼兒人形機器人運動機制之發展(MOST, 2017/11/01~2020/10/31, 擔任子計畫主持人, 總金額2,620,000元)

  16. 深度類神經網路整合開發環境DNN (ITRI, 2017)

  17. 基於深層類神經網路之音樂合成 (ITRI, 2017, 擔任計畫主持人)

  18. 運動型人形機器人 (群創光電, 2015)

  19. 小型雙足機器人擬人腳掌結構研究 (財團法人精密機械研究發展中心, 2011)

  20. 中型人形機器人設計實現與應用－總計畫暨子計畫四：中型人形機器人足球賽之智慧型系統整合實現與應用 (104-2221-E-006-228-MY2)

  21. 中型人形機器人設計實現與應用－總計畫暨子計畫三：中型人形機器人足球賽之智慧型系統整合實現與應用 (103-2221-E-006-252)

  22. 十項全能大型人形機器人之設計與研製－子計畫三：手眼腳協調控制之研發及其於十項全能大型人形機器人之應用 (100-2221-E-006-087-MY3)

  23. 十項全能大型人形機器人之設計與研製－總計畫：十項全能大型人形機器人之設計與研製 (100-2221-E-006-055-MY3)

  24. 仿人形運動與娛樂機器人之設計、研製及應用－總計畫：仿人形運動與娛樂機器人之設計、研製及應用 (97-2221-E-006-160-MY3)

  25. 仿人形運動與娛樂機器人之設計、研製及應用－子計畫四: 仿人形運動與娛樂機器人之系統開發與整合 (97-2221-E-006-172-MY3)